Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
'25
Papers (including subtopics)
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
ICLR 2025
Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning
CVPR 2025
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
CVPR 2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection
ICCV 2025
Diffusion Feedback Helps CLIP See Better
ICLR 2025
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
ICLR 2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
WACV 2025
Diffusion Model is Effectively Its Own Teacher
CVPR 2025
Diffusion Model Patching via Mixture-of-Prompts
AAAI 2025
Diffusion Models are Evolutionary Algorithms
ICLR 2025
Diffusion On Syntax Trees For Program Synthesis
ICLR 2025
Diffusion Self-Distillation for Zero-Shot Customized Image Generation
CVPR 2025
DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection
WACV 2025
DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
ICCV 2025
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
CVPR 2025
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
CVPR 2025
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
CVPR 2025
DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
ACL 2025
Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modeling
ICCV 2025
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks
EMNLP 2025
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
ICCV 2025
Directional Label Diffusion Model for Learning from Noisy Labels
CVPR 2025
Direct Judgement Preference Optimization
EMNLP 2025
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
NAACL 2025
Direct Prompt Optimization with Continuous Representations
ACL 2025